Multimodal Unsupervised Image-To-Image Translation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

6 leaderboard tables shown for this task, 6 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

14 shown of 14 papers with code (17 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
  30 Mar 2017 190 repositories listed Syntology ran 6 of 31 samples · 25 unverified · 6 pointer-only (licence)
  Image-to-image translation is a class of vision and graphics problems where the goal is to learn the mapping between an input image and an output image using a training set of aligned image pairs.
• StarGAN v2: Diverse Image Synthesis for Multiple Domains
  4 Dec 2019 14 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  A good image-to-image translation model should learn a mapping between different visual domains while satisfying the following properties: 1) diversity of generated images and 2) scalability over multiple domains.
• Multimodal Unsupervised Image-to-Image Translation
  12 Apr 2018 13 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  To translate an image to another domain, we recombine its content code with a random style code sampled from the style space of the target domain.
• Unsupervised Image-to-Image Translation Networks
  2 Mar 2017 8 repositories listed Syntology ran 1 of 9 samples · 8 unverified · 1 pointer-only (licence)
  Unsupervised image-to-image translation aims at learning a joint distribution of images in different domains by using images from the marginal distributions in individual domains.
• Diverse Image-to-Image Translation via Disentangled Representations
  2 Aug 2018 7 repositories listed
  Our model takes the encoded content features extracted from a given input and the attribute vectors sampled from the attribute space to produce diverse outputs at test time.
• Lifespan Age Transformation Synthesis
  21 Mar 2020 2 repositories listed
  Most existing aging methods are limited to changing the texture, overlooking transformations in head shape that occur during the human aging and growth process.
• Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
  13 Mar 2019 2 repositories listed
  In this work, we propose a simple yet effective regularization term to address the mode collapse issue for cGANs.
• Wavelet-based Unsupervised Label-to-Image Translation
  16 May 2023 1 repository listed
  Semantic Image Synthesis (SIS) is a subclass of image-to-image translation where a semantic layout is used to generate a photorealistic image.
• A Style-aware Discriminator for Controllable Image Translation
  29 Mar 2022 1 repository listed Syntology ran 0 of 12 samples · 12 unverified
  Current image-to-image translations do not control the output domain beyond the classes used during training, nor do they interpolate between different domains well, leading to implausible results.
• Image-to-image Translation via Hierarchical Style Disentanglement
  2 Mar 2021 1 repository listed
  Recently, image-to-image translation has made significant progress in achieving both multi-label (\ie, translation conditioned on different labels) and multi-style (\ie, generation with diverse styles) tasks.
• Breaking the Cycle - Colleagues Are All You Need
  1 Jun 2020 1 repository listed
  (2) Since it does not need to support the cycle constraint, no irrelevant traces of the input are left on the generated image.
• High-Resolution Daytime Translation Without Domain Labels
  19 Mar 2020 1 repository listed
  We present the high-resolution daytime translation (HiDT) model for this task.
• Breaking the cycle -- Colleagues are all you need
  24 Nov 2019 1 repository listed
  (2) Since it does not need to support the cycle constraint, no irrelevant traces of the input are left on the generated image.
• In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks
  26 Nov 2017 1 repository listed
  In unsupervised image-to-image translation, the goal is to learn the mapping between an input image and an output image using a set of unpaired training images.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.